package com.zzyl.serve.service.impl;

import cn.hutool.core.bean.BeanUtil;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.date.LocalDateTimeUtil;
import cn.hutool.core.text.CharSequenceUtil;
import cn.hutool.core.util.NumberUtil;
import cn.hutool.core.util.ObjectUtil;
import cn.hutool.json.JSONUtil;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.zzyl.common.constant.RedisKeyConstants;
import com.zzyl.serve.domain.AlertData;
import com.zzyl.serve.domain.AlertRule;
import com.zzyl.serve.domain.DeviceData;
import com.zzyl.serve.mapper.AlertRuleMapper;
import com.zzyl.serve.mapper.DeviceMapper;
import com.zzyl.serve.service.IAlertDataService;
import com.zzyl.serve.service.IAlertRuleService;
import com.zzyl.system.mapper.SysUserRoleMapper;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.time.LocalDateTime;
import java.time.LocalTime;
import java.time.temporal.ChronoUnit;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;



/**
 * 报警规则Service业务层处理
 * 
 * @author huangqin
 * @date 2025-05-13
 */
@Service
@Slf4j
public class AlertRuleServiceImpl extends ServiceImpl<AlertRuleMapper, AlertRule> implements IAlertRuleService
{
    @Autowired
    private AlertRuleMapper alertRuleMapper;

    /**
     * 查询报警规则
     * 
     * @param id 报警规则主键
     * @return 报警规则
     */
    @Override
    public AlertRule selectAlertRuleById(Long id)
    {
        return getById(id);
    }

    /**
     * 查询报警规则列表
     * 
     * @param alertRule 报警规则
     * @return 报警规则
     */
    @Override
    public List<AlertRule> selectAlertRuleList(AlertRule alertRule)
    {
        return alertRuleMapper.selectAlertRuleList(alertRule);
    }

    /**
     * 新增报警规则
     * 
     * @param alertRule 报警规则
     * @return 结果
     */
    @Override
    public int insertAlertRule(AlertRule alertRule)
    {
        return save(alertRule) ? 1 : 0;
    }

    /**
     * 修改报警规则
     * 
     * @param alertRule 报警规则
     * @return 结果
     */
    @Override
    public int updateAlertRule(AlertRule alertRule)
    {
        return updateById(alertRule) ? 1 : 0;
    }

    /**
     * 批量删除报警规则
     * 
     * @param ids 需要删除的报警规则主键
     * @return 结果
     */
    @Override
    public int deleteAlertRuleByIds(Long[] ids)
    {
        return removeByIds(Arrays.asList(ids)) ? 1 : 0;
    }

    /**
     * 删除报警规则信息
     * 
     * @param id 报警规则主键
     * @return 结果
     */
    @Override
    public int deleteAlertRuleById(Long id)
    {
        return removeById(id) ? 1 : 0;
    }




@Autowired
private RedisTemplate redisTemplate;

/**
 * 报警过滤
 */
@Override
public void deviceDataAlertFilter() {
    log.info("*********************【1. 查询所有规则】... 执行了");
    //查询所有规则，遍历规则
    long count = count(Wrappers.<AlertRule>lambdaQuery().eq(AlertRule::getStatus, 1));
    if (count <= 0) {
        return;
    }
    //查询所有上报的数据
    log.info("*********************【2. 查询所有上报的数据】... 执行了");
    List<Object> values = redisTemplate.opsForHash().values(RedisKeyConstants.IOT_DEVICE_LAST_DATA);
    if (CollUtil.isEmpty(values)) {
        return;
    }
    //解析上报的数据
    List<DeviceData> deviceDatas = new ArrayList<>();
    values.forEach(v -> deviceDatas.addAll(JSONUtil.toList(v.toString(), DeviceData.class)));
    
    log.info("*********************【3. 解析上报的数据】... 执行了");
    
    //获取报警规则，进行匹配
    deviceDatas.forEach(d -> alertFilter(d));
}

/**
 * 逐条过滤报警数据
 *
 * @param deviceData 设备数据
 */
@Override
public void alertFilter(DeviceData deviceData) {
    
    log.info("********************* 进入  【4. 逐条过滤报警数据】... ");
    
    //判断当前上报的数据是否超过了1分钟
    LocalDateTime alarmTime = deviceData.getAlarmTime();
    long between = LocalDateTimeUtil.between(alarmTime, LocalDateTime.now(), ChronoUnit.SECONDS);
    if (between > 60) {
        return;
    }
    //查询所有的该产品规则和该物模型的规则
    List<AlertRule> allRules = list(Wrappers.<AlertRule>lambdaQuery()
                                            .eq(AlertRule::getProductKey, deviceData.getProductKey())
                                            .eq(AlertRule::getFunctionId, deviceData.getFunctionId())
                                            .eq(AlertRule::getIotId, "-1")
                                            .eq(AlertRule::getStatus, 1));
    
    List<AlertRule> iotIdRules = list(Wrappers.<AlertRule>lambdaQuery()
                                              .eq(AlertRule::getProductKey, deviceData.getProductKey())
                                              .eq(AlertRule::getFunctionId, deviceData.getFunctionId())
                                              .eq(AlertRule::getIotId, deviceData.getIotId())
                                              .eq(AlertRule::getStatus, 1));
    //合并
    Collection<AlertRule> allArertRules = CollUtil.addAll(allRules, iotIdRules);
    //如何为空，则中断
    if (CollUtil.isEmpty(allArertRules)) {
        return;
    }
    //按照过滤规则和上报的数据进行匹配
    allArertRules.forEach(alertRule -> deviceDataAlarmHandler(alertRule, deviceData));
    
}

@Autowired
private SysUserRoleMapper userRoleMapper;

@Autowired
private DeviceMapper deviceMapper;

@Value("${alert.deviceMaintainerRole}")
private String deviceMaintainerRole;

@Value("${alert.managerRole}")
private String managerRole;

/**
 * 过滤数据是否触发报警规则
 *
 * @param rule
 * @param deviceData
 */
private void deviceDataAlarmHandler(AlertRule rule, DeviceData deviceData) {
    
    log.info("********************* 进入  【5. 过滤数据是否触发报警规则】... ");
    
    
    //判断上报时间是否在规则的生效时段内 00:00:00~23:59:59
    String[] split = rule.getAlertEffectivePeriod().split("~");
    LocalTime startTime = LocalTime.parse(split[0]);
    LocalTime endTime = LocalTime.parse(split[1]);
    //获取上报时间
    LocalTime time = LocalDateTimeUtil.of(deviceData.getAlarmTime()).toLocalTime();
    //不在上报时间内，则结束请求
    if (time.isBefore(startTime) || time.isAfter(endTime)) {
        return;
    }
    //获取IOTID
    String iotId = deviceData.getIotId();
    //统计次数的key
    String aggCountKey = RedisKeyConstants.ALERT_TRIGGER_COUNT_PREFIX + iotId + ":" + deviceData.getFunctionId() + ":" + rule.getId();
    
    //数据对比，上报的数据与规则中的阈值进行对比
    //两个参数x,y(参数有顺序要求，左边是上报的数据，后边是规则的数据)  x==y 返回0  x>y 返回大于0  x<y 返回小于0的数值
    int compare = NumberUtil.compare(Double.valueOf(deviceData.getDataValue()), rule.getValue());
    if ((rule.getOperator().equals(">=") && compare >= 0) || (rule.getOperator().equals("<") && compare < 0)) {
        log.info("当前上报的数据符合规则异常");
    } else {
        //正常的数据
        redisTemplate.delete(aggCountKey);
        return;
    }
    //异常的数据会走到这里
    //判断是否在沉默周期内
    String silentKey = RedisKeyConstants.ALERT_SILENT_PREFIX + iotId + ":" + deviceData.getFunctionId() + ":" + rule.getId();
    String silentData = (String) redisTemplate.opsForValue().get(silentKey);
    if (ObjectUtil.isNotEmpty(silentData)) {
        log.info("***********【当前数据在沉默周期内】... silentData：{}",silentData);
        return;
    }
    //持续周期的逻辑
    String aggData = (String) redisTemplate.opsForValue().get(aggCountKey);
    int count = ObjectUtil.isEmpty(aggData) ? 1 : Integer.parseInt(aggData) + 1;
    //如果count与持续周期的值相等，则触发报警
    if (ObjectUtil.notEqual(count, rule.getDuration())) {
        //不相等
        redisTemplate.opsForValue().set(aggCountKey, count + "");
        log.info("***********【当前在持续周期内】... count：{}",count);
        return;
    }
    //删除redis的报警数据
    redisTemplate.delete(aggCountKey);
    //存储数据到沉默周期，设置一个过期时间，规则中的沉默周期
    redisTemplate.opsForValue().set(silentKey, "1", rule.getAlertSilentPeriod(), TimeUnit.MINUTES);
    
    //报警报警数据，需要找到对应的人
    List<Long> userIds = new ArrayList<>();
    if (rule.getAlertDataType().equals(0)) {
        //老人异常数据
        if (deviceData.getLocationType().equals(0)) {
            log.info("********************* 进入  【6.1 老人异常数据 -- 护理员id】... ");
            //说明是报警手表，直接可以找到老人的id,通过老人id,找到对应的护理员
            userIds = deviceMapper.selectNursingIdsByIotIdWithElder(iotId);
        } else if (deviceData.getLocationType().equals(1) && deviceData.getPhysicalLocationType().equals(2)) {
            log.info("********************* 进入  【6.2 床位异常数据 -- 护理员id】... ");
            //说明是床位设备，可以通过床位id找到老人，通过老人id,找到对应的护理员
            userIds = deviceMapper.selectNursingIdsByIotIdWithBed(iotId);
        }
    } else {
        //设备异常数据，找维修工，或者是行政人员
        log.info("********************* 进入  【6.3 设备异常数据 -- 维修工id】... ");
        userIds = userRoleMapper.selectUserIdByRoleName(deviceMaintainerRole);
    }
    //别管是哪种情况，都要通知超级管理员
    List<Long> managerIds = userRoleMapper.selectUserIdByRoleName(managerRole);
    Collection<Long> allUserIds = CollUtil.addAll(userIds, managerIds);
    //去重
    allUserIds = CollUtil.distinct(allUserIds);
    
    if (CollUtil.isEmpty(allUserIds)){
        log.info("*********************【6.4  没有找到对应的护理员或者维修工 】... ");
        return;
    }
    
    //保存报警数据
    insertAlertData(allUserIds, rule, deviceData);
    
}

@Autowired
private IAlertDataService alertDataService;

/**
 * 保存报警数据
 *
 * @param allUserIds
 * @param rule
 * @param deviceData
 */
private void insertAlertData(Collection<Long> allUserIds, AlertRule rule, DeviceData deviceData) {
    
    log.info("*********************【7.1 保存报警数据】... 执行了.....");
    
    
    //对象拷贝
    AlertData alertData = BeanUtil.toBean(deviceData, AlertData.class);
    alertData.setAlertRuleId(Math.toIntExact(rule.getId()));
    //心率<60,持续3个周期就报警
    String alertReason = CharSequenceUtil.format("{}{}{},持续{}个周期就报警", rule.getFunctionName(), rule.getOperator(), rule.getValue(), rule.getDuration());
    alertData.setAlertReason(alertReason);
    alertData.setStatus(0);
    alertData.setType(rule.getAlertDataType());
    //遍历allUserIds
    List<AlertData> list = allUserIds.stream().map(userId -> {
        AlertData dbAlertData = BeanUtil.toBean(alertData, AlertData.class);
        dbAlertData.setUserId(Math.toIntExact(userId));
        dbAlertData.setId(null);
        return dbAlertData;
    }).collect(Collectors.toList());
    
    //批量保存
    alertDataService.saveBatch(list);
    
    log.info("*********************【7.2 保存报警数据】... 保存成功.....{}：",list);
    
}












}
